• Journal of The Korean Association of Information Education
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• v.21 no.4
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• pp.403-413
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• 2017

The purpose of this paper is to verify whether the entry programming course applied with the flow based learning type is to affect the flow of students' learning. The subjects of the study were the students in the 3rd grade of the National University of education who had not experienced the coding before, and conducted two hours of programming lessons per week for three months. Learning contents and learning materials of beginner course in Entry Homepage were used as learning materials. The teaching and learning process consisted of clear goals setting, motivation, follow-up and immediate feedback, providing application problems, and providing reflection time for students. As a result of the study, the nine factors of flow were compared before and after the experiment. The seven factors - A balance between challenges and skills, Immediate feedback, Action and awareness are merged, Distractions are excluded from consciousness, No worry of failure. Self-consciousness disappears, The activity becomes autotelic-were obtained.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.1
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• pp.47-52
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• 2017

This study is BIT(: Bus Information Terminal) features that take advantage of KEPCO eIoT(: energy Internet of Thing) platform, and it's Network configuration is composed of display terminal device, gateway, platform, and the service server. The key features are parts for processing protocol data between the gateway and the device using LoRa(: Long Range) technology, Intelligent applications and SIP(: Session Initiation Protocol) data handling connected to the Taxi reservation system. And the resource tree provided BIT for the service, which commonly used in the application server and the device.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.11
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• pp.1107-1112
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• 2016

This study is the Smart Office features that take advantage of KEPCO eIoT(: energy Internet of Thing) platform, and it's Network configuration is composed of sensing device, gateway, platform, and the service server. The key features are parts for processing protocol data between the gateway and the device using LoRa(: Long Range) technology, Intelligent applications and public safety data connected to the PS-LTE(: Public Safety-Long-Term Evolution) system. And the resource tree provided Smart Office for the service, which commonly used in the application server and the device.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.332-335
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• 2018

In recent years, artificial intelligence using big data has become a big issue in IT. Various studies are being conducted on services or technologies to effectively handle big data. The educational field, there is big data about students, but it is only a simple process to collect, lookup and store such data. In the future, it makes extensive use of artificial intelligence, machine learning, and statistical analysis to find meaningful rules, patterns, and relationships in the big data of the educational field, and to produce intelligent and useful data for the actual students. Accordingly, this study aims to design a program to predict the career of students using a decision tree algorithm based on the data from the student's classroom observations. Through a career prediction program, it is believed to be helpful to present application paths to students ' counseling and to also provide classroom behavior and direction based on the desired courses.

• Journal of the Korea Society of Computer and Information
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• v.15 no.10
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• pp.11-17
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• 2010

Mobile device, one of typical devices in ubiquitous environment, is received attention owing to portability. In these days, technical researches on a kind of the device are focusing on applications of smart phone. For example, the techniques using geographical position and applied instances such as augmented reality techniques are gradually increasing. That makes data processing important. Mobile application services for users also require various application techniques based on moving objects. In addition, they require the techniques that processed data are needed to be shown in visualization. However, this is reality that it lacks of showing visualization works to improve the understanding of thing what it is. To reduce or solve the problems, in this paper we show the results to implement the R tree based 3 dimension index architecture in visualization. Further, we implemented and present creating objects, showing in 3D for the objects, catching spatial position on a node map through mini map function and improving the understanding of R tree by visualizing.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.226-231
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• 2016

Binomial trees are used to price barrier options. Since barrier options are path dependent, option values of each node are calculated from binomial trees using backward induction. We use generalized Catalan numbers to determine the number of cases not reaching a barrier. We will generalize Catalan numbers by imposing upper and lower bounds. Reaching a barrier in binomial trees is determined by the difference between the number of up states and down states. If we count the cases that the differences between the up states and down states remain in a specific range, the probability of not reaching a barrier is obtained at a final node of the tree. With probabilities and option values at the final nodes of the tree, option prices are computable by discounting the expected option value at expiry. Without calculating option values in the middle nodes of binomial trees, option prices are computable only with final option values. We can obtain a probability distribution of exercising an option at expiry. Generalized Catalan numbers are expected to be applicable in many other areas.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.384-394
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• 2019

The purpose of this study is to investigate the relationships between physical factors, economic factors, and cultural factors of tourism gentrification (TG) in urban areas. Based on the results of an empirical analysis, we provide the basic theory and practical implications of the relationship between tourism phenomena and city image. This study used a questionnaire for residents of the Jeju area. From September 1, 2018, to October 3, 2018, the survey was conducted in Nuemori Street, Yeongdong Street, Gucheong Eup, and Moon Town. Thus, we use 479 samples for analysis out of 500 samples obtained. This study produced two important results. First, the physical, economic, and cultural factors of tourism gentrification have significant effects on cognitive image and emotional image. Second, economic factors have statistical significance in cognitive image and emotional image. These results and implications can be useful for practical implications of the theoretical implications of tourism gentrification and regional specialization promotion policies. In addition, from the economic point of view, what should be considered is that development-centered area development can have a negative impact on urban image. Despite these research results, there are limitations in the research, such as cross-sectional studies and short-term studies, and we look forward to a longitudinal study in the future from a long-term perspective.

• Journal of the Korea Institute of Building Construction
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• v.11 no.2
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• pp.100-107
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• 2011

As construction duration significantly influences the performance and the success of construction projects, it is necessary to appropriately manage the impact factors affecting construction duration. Recently, interest in the construction industry has been rising due to the recent change in the construction legal system, and the competition among the construction companies on construction time. However, the impact factors are extremely diverse. The existing productivity data on impact factors is not sufficient to properly identify the impact factor and measure the productivity from various perspectives, such as subcontractor, time, crew, work and so on. In this respect, a multidimensional analysis by a data warehouse is very helpful in order to view the manner in which productivity is affected by impact factors from various perspectives. Therefore, this research proposes a method that effectively takes the diverse productivity data of impact factors, and generates a multidimensional analysis. Decision tree analysis, a data mining technique, is also applied in this research in order to supply construction managers with appropriate productivity data on impact factors during the construction management process.

• Journal of Korea Multimedia Society
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• v.16 no.1
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• pp.87-99
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• 2013

The demands of IC card payment system has been increased according to the rapid advancement of the IT convergence application technologies. Recently IC card payment systems are in demands of the usage space at anytime and anywhere by developing the wireless communication technology and its related multimedia processing technology. Therefore the security of IC card payment system becomes more important and necessary. There are many fault analysis methods to evaluate the security and safety of information systems according to their characteristics and usages. However, the only assessment method to evaluate the security of information systems is not enough to analyse properly on account of the various types and characteristics of information systems by the progress of IT convergence and their applications. Therefore, this paper proposes an integrative method of the Fault Tree Analysis (FTA) and Fault Modes and Effect Analysis/Criticality (FMEA/C) based on criticality to evaluate and improve the security of IC card payment system as an illustration.

• Cartoon and Animation Studies
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• s.44
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• pp.33-56
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• 2016

As the rapid extension of the game and film industry, studies on developing natural movements on a 3D characters are increasing. Rigging a character with joints is essential to create realistic movements on a 3D character. The rapid development of the CG industry, rigging technologies and workflow is becoming more sophisticated. Despite the progress and the growth of rigging operations, has shown the limitations of such repetitive tasks. For this study, analyzes the issues and inefficiency of the old method of skin weights and propose a better approach. First, need to understand the general process of an animation pipeline and learn the technology term of skin weights. Second, comparing the traditional ways of skinning a character and applying other deformers to work properly. Third, testing out new ways of weighting a character by applying deformers such as lattice and finally converting lattice weights back to skin weights. Forth, verifying effectiveness of the new method of skin weights by comparing with the traditional skin weighting process. The study shows that the new method of skin weights, reduced working hours and a better final weighting outcome. Expecting this study to enhance the method of skin weights and able to utilize this new skinning technology.